SUPPLEMENTAL FIGURE LEGENDS Supplemental Table 1. Genes covered in the 29 gene sequencing panel Supplemental Table 2. Genes covered in the 10 gene uveal melanoma panel Supplemental Table 3. Distribution of tumors with available follow-up data Supplemental Table 4. Comparison of 47 tumors categorized using the Brat et al. classification (grey) and the genetic risk-based classification outlined in the present study (black)
ARTICLE ABSTRACT
Purpose: In the central nervous system, distinguishing primary leptomeningeal melanocytic tumors from melanoma metastases and predicting their biological behavior solely using histopathologic criteria may be challenging. We aimed to assess the diagnostic and prognostic value of integrated molecular analysis.Experimental Design: Targeted next-generation sequencing, array-based genome-wide methylation analysis, and BAP1 IHC were performed on the largest cohort of central nervous system melanocytic tumors analyzed to date, including 47 primary tumors of the central nervous system, 16 uveal melanomas, 13 cutaneous melanoma metastases, and 2 blue nevus–like melanomas. Gene mutation, DNA-methylation, and copy-number profiles were correlated with clinicopathologic features.Results: Combining mutation, copy-number, and DNA-methylation profiles clearly distinguished cutaneous melanoma metastases from other melanocytic tumors. Primary leptomeningeal melanocytic tumors, uveal melanomas, and blue nevus–like melanoma showed common DNA-methylation, copy-number alteration, and gene mutation signatures. Notably, tumors demonstrating chromosome 3 monosomy and BAP1 alterations formed a homogeneous subset within this group.Conclusions: Integrated molecular profiling aids in distinguishing primary from metastatic melanocytic tumors of the central nervous system. Primary leptomeningeal melanocytic tumors, uveal melanoma, and blue nevus–like melanoma share molecular similarity with chromosome 3 and BAP1 alterations, markers of poor prognosis. Clin Cancer Res; 24(18); 4494–504. ©2018 AACR.
